Triple

T36753165
Position Surface form Disambiguated ID Type / Status
Subject Sultan Salahuddin Abdul Aziz Mosque E907969 entity
Predicate alsoKnownAs P39 FINISHED
Object Blue Mosque
The Blue Mosque, formally known as the Sultan Salahuddin Abdul Aziz Mosque, is a prominent and architecturally striking state mosque in Shah Alam, Selangor, Malaysia, renowned for its massive blue dome and towering minarets.
E2196756 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Blue Mosque | Statement: [Sultan Salahuddin Abdul Aziz Mosque, alsoKnownAs, Blue Mosque]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Blue Mosque
Triple: [Sultan Salahuddin Abdul Aziz Mosque, alsoKnownAs, Blue Mosque]
Generated description
The Blue Mosque, formally known as the Sultan Salahuddin Abdul Aziz Mosque, is a prominent and architecturally striking state mosque in Shah Alam, Selangor, Malaysia, renowned for its massive blue dome and towering minarets.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76e779bec8190be0e1f87a131e0f4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c944bbd081909ff6b83c36c70c37 completed May 3, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3c17393e2881909965286d6943b26a completed June 24, 2026, 5:43 p.m.
NEDg Description generation batch_6a3c18c68ab48190aec3dcdb0a18931c completed June 24, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_6a3c511a39308190ae3ba260b211948d completed June 24, 2026, 9:50 p.m.
Created at: May 3, 2026, 4:12 p.m.